Data Science Projects
is a Master's level course designed for students who have elected
to do a Capstone Project rather than a dissertation.
Other students interested in a projects-based course are welcome to attend,
class size permitting.
Topics covered include:
- elements of scientific computing
- elements of statistics
- elements of machine learning
- elements of signal processing
- elements of visualization
Prerequisites
Multivariable calculus, linear algebra, programming experience,
undergraduate numerical analysis, undergraduate probability and statistics.
Textbook
There is no course textbook. Readings will be selected based on
class interest and the projects chosen.
Assignments and grading
There will be a few problem sets over the course of the
semester and a final project presentation.
Announcements, etc.
Announcements will be made via email.
Computing
The Courant Institute has
computer labs with Linux workstations that have Matlab
(matlab), Maple (xmaple), Mathematica (mathematica), the GNU
(gcc,g++,gfortran), Intel and Pathscale C/C++/Fortran
compiler suites, and other useful software installed.